| Publisher | Hewlett Packard | ||
|---|---|---|---|
| Format | 472.6KB PDF, requires Acrobat Rdr 5 | Date added | 15 Sep 2004 |
| Topics | High Performance Computing, Load Balancing | ||
| Downloads | 1111  popular | ||
Utility Computing has recently become a wide-spread paradigm for data center operators to adapt to the changing business environment. Utility Computing offers two advantages: (1) lowering customer costs related to hardware, software license, deployment and maintenance of IT; and (2) allowing customers to adapt quickly to business changes and simplify IT environments. With utility computing, customers are able to obtain computing services as needed, deriving benefits from the optimal use of IT resources. This paper analyzes CPU utilization traces of multiple applications running on a shared set of processors in a utility computing environment and applies PCA (Principal Component Analysis) technique to characterize each application's workload.
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